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The solution aims to provide a complete IC design platform including planning, implementation, and verification in a single, unified environment.
SAN DIEGO, June 06, 2022 (GLOBE NEWSWIRE) — GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”) is investigating the development of an automated, technology-driven integrated circuit design environment. machine learning, enabling accelerated silicon design capabilities. The research is focused on a unified environment that considers architectural design, functional verification, full system power analysis, and full physical verification. The goal of the design environment is to improve design performance by analyzing the optimization of latency, bandwidth, and power area. The solution the company is looking for aims to support custom analog, mixed-signal, radio frequency, and synthesis designs. Additionally, the company expects the new system to perform signature extraction, static synchronization (STA), robust physical verification including design for manufacturing (DFM) and electromigration.
Typically, the industry uses separate Electronic Design Automation (EDA) tools for a specific topic, which creates extensive integration efforts. GBT plans to offer a one-stop shop for the entire IC design workflow. GBT believes that a comprehensive and highly automated workflow would accelerate an IC design project by combining traditionally separate front-end and back-end chip design technologies into a single integrated workflow. The automated flow is designed to eliminate iterations between EDA tools, accelerating the design cycle and reducing overall IC development time and costs. The system plans to support mixed-signal System on a Chip (SoC), digital cores, and analog IPs. The research examines the use of GBT’s machine learning-based accelerators to dramatically improve design productivity and enable design reuse in the design environment. Deep learning algorithms will aim to provide rapid design capabilities by analyzing and optimizing circuit designs and layouts. The system will take into consideration process design rules, reliability constraints, DFM and thermal analysis aspects. GBT believes that its research will illustrate that this type of unified, machine learning-driven IC design environment will provide a quantum leap in efficiency and productivity for microchip designers, dramatically reducing overall design time. of the integrated circuit.
“We are looking for an IC solution that would target small start-ups to large enterprises in the semiconductor industry with varying design requirements. With GBT’s new approach, we aim to develop an automated, machine learning-based IC design workflow enabling accelerated design on silicon for IC design companies. To do this, we want to combine the traditionally separate front-end and back-end chip design workflows into an integrated environment that speeds up the overall design cycle and reduces IC development costs. A typical microchip design process includes many steps which are categorized as front-end tasks and back-end tasks. Different steps are executed using separate EDA tools that require a large amount of integration and design environment adjustments. The new machine learning-based flow we are looking for aims to provide advanced one-stop design environment capabilities, with high levels of automation, with the aim of enabling the delivery of superior designs, with a much faster completion time. The use of our deep learning and advanced computational geometry algorithms aims to produce a comprehensive design environment, enabling efficient digital/analog design and implementation, especially with advanced fabrication nodes. Additionally, we are also looking for the integration of other capabilities into the system, which may include functional and physical verification, simulations, power optimization, characterization, or performance management. With this research, we aim to standardize the design, simulation, verification and characterization of digital and analog integrated circuits. We firmly believe that an intelligent and automated IC design environment will introduce significant productivity improvement to IC design companies, reducing the overall design time of their projects and bringing them to market faster.” said Danny Rittman, the company’s chief technical officer.
There is no guarantee that the Company will succeed in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise sufficient capital to support its research and, if research, development and regulatory approval are successful, the Company will need to establish a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will successfully complete any or all of these critical milestones.
GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development-stage company that considers itself a native of the Internet of Things (IoT), intelligence (AI) and enabled technologies. Mobile technology platforms used to increase the performance of integrated circuits. GBT has assembled a team with extensive technological expertise and built an intellectual property portfolio consisting of numerous patents. GBT’s mission is to license technology and intellectual property to synergistic partners in hardware and software. Once commercialized, GBT’s goal is to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, core management protocols of data, with tracking software and cloud support (without the need for GPS). GBT envisions this system as the creation of a global mesh network using advanced nodes and super-efficient next-generation IC technology. The heart of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a private, secure and low cost mesh network between all enabled devices. Thus, providing advanced shared processing, management and sharing of the mobile database while using these enhanced mobile features as an alternative to traditional carrier services.
Certain statements contained in this press release may constitute “forward-looking statements”. Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that is not directly related to historical or current fact. Actual results may differ materially from those indicated by these forward-looking statements due to various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website (http://www.sec.gov). In addition to these factors, actual future performance, results and results may differ materially due to broader factors, including (without limitation) general industry and market conditions and growth rates. , economic conditions, changes in government and public policy, the Company’s ability to raise capital on acceptable terms, if any, the Company’s successful development of its products and integration into its existing products and the commercial acceptance of the Company’s products. The forward-looking statements included in this press release represent the Company’s views as of the date of this press release and those views are subject to change. However, while the Company may choose to update these forward-looking statements at some point in the future, the Company expressly disclaims any obligation to do so. These forward-looking statements should not be taken to represent the views of the Company as of any date subsequent to the date of the press release.
Contact: Dr. Danny Rittman, CTO [email protected]
Source: GBT Technologies Inc.